Rdocumentation
powered by
Learn R Programming
sAIC (version 1.0.1)
Akaike Information Criterion for Sparse Estimation
Description
Computes the Akaike information criterion for the generalized linear models (logistic regression, Poisson regression, and Gaussian graphical models) estimated by the lasso.
Copy Link
Link to current version
Version
Version
1.0.1
1.0
Install
install.packages('sAIC')
Monthly Downloads
164
Version
1.0.1
License
GPL (>= 2)
Homepage
https://doi.org/10.1214/16-EJS1179
Maintainer
Shuichi Kawano
Last Published
October 18th, 2022
Functions in sAIC (1.0.1)
Search all functions
sAIC
Compute the Akaike information criterion for the lasso in generalized linear models